Nonparametric estimation of probability density functions for irregularly observed spatial data
Nonparametric estimation of probability density functions, both marginal and joint densities, is a very useful tool in statistics. The kernel method is popular and applicable to dependent data, including time series and spatial data. But at least for the joint density, one has had to assume that dat...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
2014-12.
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| Subjects: | |
| Online Access: | Get fulltext |